{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "# 设置格式-白色\n",
    "sns.set_style('white')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "A    1\nB    3\nC    2\ndtype: int64"
     },
     "metadata": {},
     "output_type": "execute_result",
     "execution_count": 3
    }
   ],
   "source": [
    "s = pd.Series(\n",
    "    [1,3,2],\n",
    "    index=list('ABC'))\n",
    "s"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x218adac9048>"
     },
     "metadata": {},
     "output_type": "execute_result",
     "execution_count": 4
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x218adb59ba8>"
     },
     "metadata": {},
     "output_type": "execute_result",
     "execution_count": 5
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot(kind='line')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x218ade171d0>"
     },
     "metadata": {},
     "output_type": "execute_result",
     "execution_count": 6
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot.line()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
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